Evaluating Conditional Probability of Several Random Variables

rayge
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Homework Statement


Let X_1, X_2, X_3 be iid with common pdf f(x)=exp(-x), 0<x<infinity, 0 elsewhere.

Evaluate P(X_1<X_2 | X_1<2X_2)

Homework Equations


f(X|Y) = f(x,y)/f(y)

The Attempt at a Solution


Since P(X_1<X_2) is a subset of P(X_1<2X_2), the intersection (edited, at first said union) should be P(X_1<X_2), so the conditional should be P(X_1<X_2)/P(X_1<2X_2) (edited). I evaluate this and get (exp(-x_2) - 1 )/ (exp(-2x_2 ) - 1), so I'm going wrong somewhere. Any suggestions welcome!
 
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rayge said:

Homework Statement


Let X_1, X_2, X_3 be iid with common pdf f(x)=exp(-x), 0<x<infinity, 0 elsewhere.

Evaluate P(X_1<X_2 | X_1<2X_2)


Homework Equations


f(X|Y) = f(x,y)/f(y)

The Attempt at a Solution


Since P(X_1<X_2) is a subset of P(X_1<2X_2), the union should be P(X_1<X_2), so the conditional should be P(X_1<2X_2)/P(X_1<2X_2). I evaluate this and get (exp(-x_2) - 1 )/ (exp(-2x_2 ) - 1), so I'm going wrong somewhere. Any suggestions welcome!

What value has ##x_2?## There is no ##x_2## mentioned in the question---only the random variable ##X_2##. Also, you should look at an intersection, not a union: the intersection is ##\{X_1 < X_2\}## while the union is ##\{X_1 < 2X_2\}##. Furthermore, you say one thing and compute something else.

Also, what role does ##X_3## have in the question?
 
Edited, you are right. I had evaluated P(X_1&lt;X_2)/P(X_1&lt;2X_2) to get the answer.

X_3 is the second part of the problem, not used in this part. Sorry for the confusion.
 
rayge said:
Edited, you are right. I had evaluated P(X_1&lt;X_2)/P(X_1&lt;2X_2) to get the answer.

X_3 is the second part of the problem, not used in this part. Sorry for the confusion.

No, that is not what you calculated. You calculated
\frac{P(X_1 &lt; x_2)}{P(X_1 &lt; 2x_2)}
for some un-specified value of the number ##x_2##.

How do you calculate ##P(X_1 < X_2)##? Here, I wrote and I mean ##X_2##---the random variable--not a number ##x_2##. Same question for ##P(X_1 < 2X_2)##.
 
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My guess is that it's the probability that X_1 is less than the mean of X_2, not some x_2.
 
rayge said:
My guess is that it's the probability that X_1 is less than the mean of X_2, not some x_2.

Please: no guesses. Go back to your probability textbook and read the appropriate sections, or consult your course notes. This is all really basic material about bivariate distributions, etc.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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